{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Machine Learning with Support Vector Machines and Parameter Tuning\n",
    "\n",
    "In this short micro-project, we'll work on classifying flowers from the famous Iris data set into different categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data\n",
    "\n",
    "Fisher's Iris data set is a multivariate data set introduced by Sir Ronald Fisher in the 1936 as an example of discriminant analysis. \n",
    "\n",
    "The iris dataset contains measurements for 150 iris flowers from three different species.\n",
    "\n",
    "The three classes in the Iris dataset:\n",
    "\n",
    "    Iris-setosa (n=50)\n",
    "    Iris-versicolor (n=50)\n",
    "    Iris-virginica (n=50)\n",
    "\n",
    "The four features of the Iris dataset:\n",
    "\n",
    "    sepal length in cm\n",
    "    sepal width in cm\n",
    "    petal length in cm\n",
    "    petal width in cm\n",
    "    \n",
    "The dataset is built into seaborn, so we can use the library to import the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "iris = sns.load_dataset('iris')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check out the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1047184e0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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hIYJNjXhC1bTv/WX6ZvOsQDKHiq+tnbgyY0uFSp77d/DAK4/Ol93Ws4NwVZg4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wccswg5zUVe5y3Nc5XB6XV69x17mZxe5HOP/5Tbrt3G6Lk5zozN0tvRyBe++co1l5jlJ/bv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\nIiIiIiKZNKAiIiIiIiIiIpLp/wHdWFJFl+mqEQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119f02f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris,hue='species')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A quick look at the pairplot, and we can see that the setosa species seems to be the most separable of the three."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# Model Building\n",
    "\n",
    "We'll begin by splitting the data into training and test sets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X = iris.drop('species',axis=1)\n",
    "\n",
    "y = iris['species']\n",
    "\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now its time to train a Support Vector Machine Classifier. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',\n",
       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "sv = SVC()\n",
    "\n",
    "sv.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Predictions and Evaluations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "preds = sv.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[14  0  0]\n",
      " [ 0 12  2]\n",
      " [ 0  0 17]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report,confusion_matrix\n",
    "print(confusion_matrix(y_test,preds))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "     setosa       1.00      1.00      1.00        14\n",
      " versicolor       1.00      0.86      0.92        14\n",
      "  virginica       0.89      1.00      0.94        17\n",
      "\n",
      "avg / total       0.96      0.96      0.96        45\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,preds))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And it seems like our model did pretty well!\n",
    "\n",
    "We can try and improve the results by tuning the parameters for the classifier.\n",
    "Scikit's inbuilt 'GridSearch' module lets us do that automatically, to an extent. Let's try and use that."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parameter Tuning using GridSearch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Defining the initial parameter grid to search in\n",
    "param_grid = {'C': [0.1,1, 10, 100], 'gamma': [1,0.1,0.01,0.001]} "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=None, error_score='raise',\n",
       "       estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',\n",
       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False),\n",
       "       fit_params={}, iid=True, n_jobs=1,\n",
       "       param_grid={'C': [0.1, 1, 10, 100], 'gamma': [1, 0.1, 0.01, 0.001]},\n",
       "       pre_dispatch='2*n_jobs', refit=True, return_train_score=True,\n",
       "       scoring=None, verbose=0)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid = GridSearchCV(SVC(),param_grid,refit=True)\n",
    "grid.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### New Predictions and Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[14  0  0]\n",
      " [ 0 13  1]\n",
      " [ 0  0 17]]\n"
     ]
    }
   ],
   "source": [
    "grid_predictions = grid.predict(X_test)\n",
    "\n",
    "print(confusion_matrix(y_test,grid_predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "     setosa       1.00      1.00      1.00        14\n",
      " versicolor       1.00      0.93      0.96        14\n",
      "  virginica       0.94      1.00      0.97        17\n",
      "\n",
      "avg / total       0.98      0.98      0.98        45\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,grid_predictions))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A little better this time, with only one point that we weren't able to grab. This might be a good thing in real world applications as we don't want a model that overfits to the taining set completely.\n",
    "\n",
    "This concludes our micro-project!"
   ]
  }
 ],
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